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PtahCast
Monte Carlo delivery forecasting for agencies
PtahCast is a delivery forecasting platform built for agencies and client-services delivery teams. Instead of a single hoped-for completion date, it runs 10,000 Monte Carlo simulations against a team's actual historical cycle-time data to produce three probability-based delivery dates — Aggressive (P50), Commercial (P85), and Safe (P95) — so every date you give a client is a number you can defend, not a guess you're hoping holds.
Every delivery date an agency gives a client is either a probability they can defend or a guess they're hoping holds. PtahCast exists to make it the former.
PtahCast is a delivery forecasting platform purpose-built for digital agencies and client-services delivery teams. Rather than relying on a single hoped-for completion date, PtahCast runs 10,000 Monte Carlo simulations against a team's actual historical cycle-time data to generate three probability-based delivery dates: Aggressive (P50), Commercial (P85), and Safe (P95).
Under the hood, PtahCast includes a Kanban board with priorities, epics, assignees, and per-column WIP limits; flow metrics covering cycle time, throughput, and cumulative flow; and accountability logging that tracks every forecast against what actually shipped, building a transparent, auditable record of forecast accuracy over time. Higher-tier plans support white-labeling, so agencies can present client-facing forecast portals under their own brand and domain.
Forecasts start working from a team's very first tracked ticket — no months-long data collection period required before the tool becomes useful.
PtahCast is for any agency or delivery team tired of choosing between sandbagging estimates and overpromising clients.
About PtahCast on Product Hunt
“Monte Carlo delivery forecasting for agencies”
PtahCast was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #76 on the daily leaderboard. PtahCast is a delivery forecasting platform built for agencies and client-services delivery teams. Instead of a single hoped-for completion date, it runs 10,000 Monte Carlo simulations against a team's actual historical cycle-time data to produce three probability-based delivery dates — Aggressive (P50), Commercial (P85), and Safe (P95) — so every date you give a client is a number you can defend, not a guess you're hoping holds.
On the analytics side, PtahCast competes within Productivity, SaaS and Software Engineering — topics that collectively have 746.6k followers on Product Hunt. The dashboard above tracks how PtahCast performed against the three products that launched closest to it on the same day.
Who hunted PtahCast?
PtahCast was hunted by Theo van Stratum. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of PtahCast including community comment highlights and product details, visit the product overview.
Theo van Stratum